Results 141 to 150 of about 187,687 (307)

Ethical and moral pitfalls of generative AI in academic research

open access: yes
Despite the benefits of generative artificial intelligence (GenAI), the use of GenAI in academic research raises moral and ethical concerns. This chapter delves into the adverse impacts of GenAI with a focus on literature review and data collection and ...
Protopapa I., Idris, Bochra
core   +1 more source

Utilizing AI Chatbots in Higher Education Teaching and Learning

open access: yesJournal of the Scholarship of Teaching and Learning
With the rapid societal emergence of generative artificial intelligence chatbots, calls for responsible use of AI permeate public voices. Higher education is no exception.
Laurie O. Campbell, Thomas D Cox
doaj  

Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity

open access: yesArthritis Care &Research, EarlyView.
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley   +1 more source

Generative and Predictive AI for Decision Making and Retail Optimization

open access: yes
reservedThe increasing integration of Artificial Intelligence (AI) across many industries has radically transformed the way organizations access and act upon data.
BALDONI, MATTEO
core  

Addressing 6 challenges in generative AI for digital health: A scoping review.

open access: yesPLOS Digital Health
Generative artificial intelligence (AI) can exhibit biases, compromise data privacy, misinterpret prompts that are adversarial attacks, and produce hallucinations.
Tara Templin   +4 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis

open access: yesArthritis Care &Research, EarlyView.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang   +21 more
wiley   +1 more source

The Effect of Generative AI on Marketing: A two-sided perspective of customers and firms

open access: yes
reservedThis study examines the impact of Generative AI (GenAI) on marketing, focusing on its effects on firms and consumers. Using a systematic literature review, it explores how GenAI transforms marketing strategies, influences consumer behavior, and ...
MIRSAYYAR BARKOUSARAEI, SEYEDSAJJAD
core  

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein   +7 more
wiley   +1 more source

Engagement Patterns with an AI Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, Accepted Article.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed‐methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

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